Essays about: "bilder"

Showing result 21 - 25 of 1053 essays containing the word bilder.

  1. 21. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lars Bergström; Dag Hjelm; [2023]
    Keywords : ;

    Abstract : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. READ MORE

  2. 22. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

    University essay from Försvarshögskolan

    Author : Carl Zaff; [2023]
    Keywords : Russian Equipment loss; Russo-Ukrainian War; Method development; Machine learning; Tesseract OCR; Oryxspioenkop; OSINT; Ryssland; Materielförlust; Rysk-ukrainska kriget; Metodutveckling; Maskininlärning; Tesseract OCR; Oryxspioenkop; OSINT;

    Abstract : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. READ MORE

  3. 23. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Thomas Proudhon; [2023]
    Keywords : Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Abstract : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. READ MORE

  4. 24. The Game Of Nudity on Instagram: Four case studies about art and censorship

    University essay from Uppsala universitet/Konstvetenskapliga institutionen

    Author : Sabine Svensson; [2023]
    Keywords : Agency; actor-network theory; art history; censorship; feminist studies; Instagram; the male gaze; nudity; pornography; Agens; aktör-nätverksteori; konstvetenskap; censur; feministiska studier; Instagram; den manliga blicken; nakenhet; pornografi;

    Abstract : The aim for this essay is, along with the four included case studies, is to examine the social media platform, Instagram's strict guidelines when it comes to showing nudity.  On the platform there is a certain double standard, artists as well as art institutions are censored, that is, they get pictures removed or their accounts blocked when they try to show works that have nudity depicted, but at the same time nudity exists on the platform, this essay wants to highlight the double standard by setting the example that images from accounts of celebrities, which show as much nudity as a work of art, if not more, are allowed to be available on the social platform. READ MORE

  5. 25. Deep Reinforcement Learning in Games Based on Extracted Features

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emilia Sjögren; Erika Weidenhaijn; [2023]
    Keywords : ;

    Abstract : FlappyBird is a popular mobile game that captured many people's attention because itwas easy to understand but difficult to perform --- players were often right on the edge ofsucceeding, which led to a strong desire to play again. The purpose of this project is to investigatethe possibility of using a neural network trained with reinforcement learning to play the game usingextracted features rather than raw images. READ MORE